Smart Wind and Solar Power

Bullis, Kevin
May 2014
MIT Technology Review;May/Jun2014, Vol. 117 Issue 3, p44
The article discusses technology aimed at providing ultra-accurate forecasts of solar and wind power using "smart" technology to counterbalance the intermittent nature of the renewable energy sources. Topics include the U.S. National Center for Atmospheric Research's (NCAR) collection of data from wind turbines, weather satellites, and weather stations for "big data" analysis with artificial intelligence software, power company Xcel Energy's support for wind power in Colorado, and the ability to stop using fossil-fuel backup power plants.


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